Susanna Rampichini

Dr. Susanna Rampichini

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Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 May 2020 in Entropy
Verified
Journal Article
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SRSusanna Rampichini
Susanna Rampichini
TVTaian Vieira
Taian Vieira
Paolo CastiglioniPaolo Castiglioni
Paolo Castiglioni
GMGiampiero Merati
Giampiero Merati
The surface electromyography (sEMG) records the electrical activity of muscle fibers during contraction: one of its uses is to assess changes taking place within muscles in the course of a fatiguing contraction to provide insights into our understanding of muscle fatigue in training protocols and rehabilitation medicine. Until recently, these myoelectric manifestations of muscle fatigue (MMF) have been assessed essentially by linear sEMG analyses. However, sEMG shows a complex behavior, due to many concurrent factors. Therefore, in the last years, complexity-based methods have been tentatively applied to the sEMG signal to better individuate the MMF onset during sustained contractions. In this review, after describing concisely the traditional linear methods employed to assess MMF we present the complexity methods used for sEMG analysis based on an extensive literature search. We show that some of these indices, like those derived from recurrence plots, from entropy or fractal analysis, can detect MMF efficiently. However, we also show that more work remains to be done to compare the complexity indices in terms of reliability and sensibility; to optimize the choice of embedding dimension, time delay and threshold distance in reconstructing the phase space; and to elucidate the relationship between complexity estimators and the physiologic phenomena underlying the onset of MMF in exercising muscles.

1 April 2018 in Journal of Strength & Conditioning Research
Verified
Journal Article
Closed access
GCGiuseppe Coratella
Giuseppe Coratella
Marco BeatoMarco Beato
Marco Beato
CMChiara Milanese
Chiara Milanese
Stefano LongoStefano Longo
Stefano Longo
ELEloisa Limonta
Eloisa Limonta
Fabio EspositoFabio Esposito
Fabio Esposito
Coratella, G, Beato, M, Milanese, C, Longo, S, Limonta, E, Rampichini, S, Cè, E, Bisconti, AV, Schena, F, and Esposito, F. Specific adaptations in performance and muscle architecture after weighted jump-squat vs. body mass squat jump training in recreational soccer players. J Strength Cond Res 32(4): 921–929, 2018—The aim of the present study was to compare the effects of weighted jump-squat training (WJST) vs. body mass squat jump training (BMSJT) on quadriceps' muscle architecture, lower-limb lean-mass (LM) and muscle strength, performance in change of direction (COD), and sprint and jump in recreational soccer players. Forty-eight healthy soccer players participated in an offseason randomized controlled trial. Before and after an 8-week training intervention, vastus lateralis pennation angle, fascicle length, muscle thickness, LM, squat 1RM, quadriceps and hamstrings isokinetic peak torque, agility T-test, 10-and 30-m sprints, and squat-jump (SJ) were measured. Although similar increases were observed in muscle thickness, fascicle length increased more in WJST (Effect size [ES] = 1.18, 0.82–1.54) than in BMSJT (ES = 0.54, 0.40–0.68), and pennation angle increased only in BMSJT (ES = 1.03, 0.78–1.29). Greater increases in LM were observed in WJST (ES = 0.44, 0.29–0.59) than in BMSJT (ES = 0.21, 0.07–0.37). The agility T-test (ES = 2.95, 2.72–3.18), 10-m (ES = 0.52, 0.22–0.82), and 30-m sprints (ES = 0.52, 0.23–0.81) improved only in WJST, whereas SJ improved in BMSJT (ES = 0.89, 0.43–1.35) more than in WJST (ES = 0.30, 0.03–0.58). Similar increases in squat 1RM and peak torque occurred in both groups. The greater inertia accumulated within the landing phase in WJST vs. BMSJT has increased the eccentric workload, leading to specific eccentric-like adaptations in muscle architecture. The selective improvements in COD in WJST may be related to the increased braking ability generated by the enhanced eccentric workload.

5 March 2013 in Muscle & Nerve
Verified
Journal Article
Closed access
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ECEmiliano Cè
Emiliano Cè
SRSusanna Rampichini
Susanna Rampichini
LALuca Agnello
Luca Agnello
ELEloisa Limonta
Eloisa Limonta
AVArsenio Veicsteinas
Arsenio Veicsteinas
Fabio EspositoFabio Esposito
Fabio Esposito

19 November 2019 in European Journal of Applied Physiology
Verified
Journal Article
Closed access
Emiliano CèEmiliano Cè
Emiliano Cè
Stefano LongoStefano Longo
Stefano Longo
ELEloisa Limonta
Eloisa Limonta
GCGiuseppe Coratella
Giuseppe Coratella
SRSusanna Rampichini
Susanna Rampichini
Fabio EspositoFabio Esposito
Fabio Esposito

27 February 2015 in Sport Sciences for Health
Verified
Journal Article
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ECEmiliano Cè
Emiliano Cè
SRSusanna Rampichini
Susanna Rampichini
Fabio EspositoFabio Esposito
Fabio Esposito

16 November 2017 in Chronobiology International
Verified
Journal Article
Closed access
ERE. Roveda
E. Roveda
AMAngela Montaruli
Angela Montaruli
Letizia GalassoLetizia Galasso
Letizia Galasso
CPC. Pesenti
C. Pesenti
Eleonora BrunoEleonora Bruno
Eleonora Bruno
Fabio EspositoFabio Esposito
Fabio Esposito
Recent findings suggest that altered rest-activity circadian rhythms (RARs) are associated with a compromised health status. RARs abnormalities have been observed also in several pathological conditions, such as cardiovascular, neurological, and cancer diseases. Binge eating disorder (BED) is the most common eating disorder, with a prevalence of 3.5% in women and 2% in men. BED and its associate obesity and motor inactivity could induce RARs disruption and have negative consequences on health-related quality of life. However, the circadian RARs and sleep behavior in patients with BED has been so far assessed only by questionnaires. Therefore, the purpose of this study was to determine RARs and sleep parameters by actigraphy in patients with BED compared to a body mass index-matched control group (Ctrl). Sixteen participants (eight obese women with and eight obese women without BED diagnosis) were recruited to undergo 5-day monitoring period by actigraphy (MotionWatch 8®, CamNtech, Cambridge, UK) to evaluate RARs and sleep parameters. In order to determine the RARs, the actigraphic data were analyzed using the single cosinor method. The rhythmometric parameters of activity levels (MESOR, amplitude and acrophase) were then processed with the population mean cosinor. The Actiwatch Sleep Analysis Software (Cambridge Neurotecnology, Cambridge, UK) evaluated the sleep patterns. In each participant, we considered seven sleep parameters (sleep onset: S-on; sleep offset: S-off; sleep duration: SD; sleep latency: SL; movement and fragmentation index: MFI; immobility time: IT; sleep efficiency: SE) calculated over a period of five nights. The population mean cosinor applied to BED and Ctrl revealed the presence of a significant circadian rhythm in both groups (p < 0.001). The MESOR (170.0 vs 301.6 a.c., in BED and Ctrl, respectively; p < 0.01) and amplitude (157.66 vs 238.19 a.c., in BED and Ctrl, respectively p < 0.05) differed significantly between the two groups. Acrophase was not different between BED and Ctrl, as well as all sleep parameters. Both groups displayed a low level of sleep quality (SE 80.7% and 75.7% in BED and Ctrl, respectively). These data provided the first actigraphy-based evidence of RARs disruption and sleep behavior disorder in patients with BED. However, while sleep disorders could be reasonably ascribed to overweight/obesity and the related lower daily physical activity, RARs disruption in this pathology should be ascribed to factors other than reduced physical activity. The circadian timing approach can represent a novel potential tool in the treatment of patients with eating disorders. These data provide exploratory evidence of behavioral association in a small population of patients that, if confirmed in a wider number of subjects and across different populations, may lead to a revision and enhancement of interventions in BED patients.